In the context of the rapid development of information technology and big data, through the collection of sina Weibo resident check-in data in 2019, ArcGIS kernel density analysis was used to analyze the distribution characteristics of leisure flow of Urumqi residents from the perspective of time and space. It is found that:The intraday frequency of residents' activities in Urumqi changes greatly, and the overall curve present a "double check box" shape. The check-in frequency is the lowest during 5：00—7：00, and the check-in data volume remained at the highest level during 12：00—23：00;The spatial distribution of leisure flow of residents' activities is "one large and one small", and the regional distribution is "large concentration, small dispersion".The analysis of the temporal and spatial characteristics of leisure flow of urban residents, to provide reference for promoting the development of leisure tourism and the reconstruction of hot spots in Urumqi.